Data processing: database and file management or data structures – Database design – Data structure types
Reexamination Certificate
2007-10-23
2007-10-23
Vo, Tim (Department: 2168)
Data processing: database and file management or data structures
Database design
Data structure types
C707S793000, C707S793000
Reexamination Certificate
active
10723206
ABSTRACT:
The present invention provides a ViST (or “virtual suffix tree”), which is a novel index structure for searching XML documents. By representing both XML documents and XML queries in structure-encoded sequences, it is shown that querying XML data is equivalent to finding (non-contiguous) subsequence matches. A variety of XML queries, including those with branches, or wild-cards (‘*’ and ‘//’), can be expressed by structure-encoded sequences. Unlike index methods that disassemble a query into multiple sub-queries, and then join the results of these sub-queries to provide the final answers, ViST uses tree structures as the basic unit of query to avoid expensive join operations. Furthermore, ViST provides a unified index on both content and structure of the XML documents, hence it has a performance advantage over methods indexing either just content or structure. ViST supports dynamic index update, and it relies solely on B+Trees without using any specialized data structures that are not well supported by common database management systems (hereinafter referred to as “DBMSs”).
REFERENCES:
patent: 2002/0059281 (2002-05-01), Watanabe et al.
patent: 2003/0204515 (2003-10-01), Shadmon et al.
patent: 2005/0234852 (2005-10-01), Coramutla
Haixun Wang, Sanghyun Park, Wei Fan, Philip s. Yu, ViST: a dynamic index method for querying XML data by tree structures, 2003, 110-121.
Fan Wei
Wang Haixun
Yu Philip Shi-Lung
Oni Olubusola
Vo Tim
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